feat: add missing freqAI parameters to config schema
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@@ -965,10 +965,13 @@ CONF_SCHEMA = {
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"type": "boolean",
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"type": "boolean",
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"default": False,
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"default": False,
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},
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},
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"keras": {
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"identifier": {
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"description": "Use Keras for model training.",
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"description": (
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"type": "boolean",
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"A unique ID for the current model. "
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"default": False,
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"Must be changed when modifying features."
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),
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"type": "string",
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"default": "example",
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},
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},
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"write_metrics_to_disk": {
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"write_metrics_to_disk": {
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"description": "Write metrics to disk?",
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"description": "Write metrics to disk?",
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@@ -1000,13 +1003,43 @@ CONF_SCHEMA = {
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"type": "number",
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"type": "number",
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"default": 7,
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"default": 7,
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},
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},
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"identifier": {
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"live_retrain_hours": {
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"description": "Frequency of retraining during dry/live runs.",
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"type": "number",
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"default": 0,
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},
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"expiration_hours": {
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"description": (
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"description": (
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"A unique ID for the current model. "
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"Avoid making predictions if a model is more than `expiration_hours` "
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"Must be changed when modifying features."
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"old. Defaults to 0 (no expiration)."
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),
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),
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"type": "string",
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"type": "number",
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"default": "example",
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"default": 0,
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},
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"save_backtest_models": {
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"description": "Save models to disk when running backtesting.",
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"type": "boolean",
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"default": False,
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},
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"fit_live_predictions_candles": {
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"description": (
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"Number of historical candles to use for computing target (label) "
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"statistics from prediction data, instead of from the training dataset."
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),
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"type": "boolean",
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"default": False,
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},
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"data_kitchen_thread_count": {
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"description": (
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"Designate the number of threads you want to use for data processing "
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"(outlier methods, normalization, etc.)."
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),
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"type": "integer",
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},
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"activate_tensorboard": {
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"description": "Indicate whether or not to activate tensorboard",
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"type": "boolean",
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"default": True,
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},
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},
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"wait_for_training_iteration_on_reload": {
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"wait_for_training_iteration_on_reload": {
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"description": (
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"description": (
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@@ -1024,6 +1057,11 @@ CONF_SCHEMA = {
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"type": "boolean",
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"type": "boolean",
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"default": False,
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"default": False,
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},
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},
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"keras": {
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"description": "Use Keras for model training.",
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"type": "boolean",
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"default": False,
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},
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"feature_parameters": {
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"feature_parameters": {
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"description": "The parameters used to engineer the feature set",
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"description": "The parameters used to engineer the feature set",
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"type": "object",
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"type": "object",
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